面向心率预测的原型聚类联邦学习

殷勇杰; 阮辉; 陈阳; 陈炯; 黎子玥; 苏翔; 周义朋; 宫庆媛

doi:10.1631/FITEE.2500062

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面向心率预测的原型聚类联邦学习

常规文章 | Updated：2025-11-18

- 面向心率预测的原型聚类联邦学习
  Enhanced Publication
- Prototypical clustered federated learning for heart rate prediction
- “在心率预测领域，引入了一种名为PCEdH的新框架，利用个性化联邦学习和原型对比学习来增强隐私保护和解决数据异构问题。这种方法包括一个联邦聚类模块和一个软聚类联邦学习模块，已被证明明显优于现有方法，数据集的均方误差显著降低了3.1%。个性化组件是框架成功的关键因素。”
- Frontiers of Information Technology & Electronic Engineering 2025年26卷第10期页码：1896-1912
- Affiliations：
  
  1.School of Computer Science, Fudan University, Shanghai 200438, China
  2.NIO, Shanghai 201805, China
  3.Information System Department, University of Cologne, Cologne 50969, Germany
  4.Department of Agricultural Sciences, University of Helsinki, Helsinki 00014, Finland
  5.School of Computing, Macquarie University, Sydney 2109, Australia
  6.Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China
- Author bio：
  
  ‡ Corresponding author
- Funds：
  
  National Natural Science Foundation of China(62102094;62072115);Shanghai Science and Technology Innovation Action Plan Project(22510713600);NIO University Programme, and the Nordic University Cooperation on Edge Intelligence(168043)
- DOI：10.1631/FITEE.2500062
  中图分类号： TP391
- 收稿：2025-01-27，
  
  修回：2025-04-06，
  
  纸质出版：2025-10
- Accepted：
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殷勇杰, 阮辉, 陈阳, 等. 面向心率预测的原型聚类联邦学习[J]. Frontiers of Information Technology & Electronic Engineering, 2025,26(10):1896-1912.

Yongjie YIN, Hui RUAN, Yang CHEN, et al. Prototypical clustered federated learning for heart rate prediction[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1896-1912.
殷勇杰, 阮辉, 陈阳, 等. 面向心率预测的原型聚类联邦学习[J]. Frontiers of Information Technology & Electronic Engineering, 2025,26(10):1896-1912. DOI： 10.1631/FITEE.2500062.

Yongjie YIN, Hui RUAN, Yang CHEN, et al. Prototypical clustered federated learning for heart rate prediction[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1896-1912. DOI： 10.1631/FITEE.2500062.

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面向心率预测的原型聚类联邦学习

Prototypical clustered federated learning for heart rate prediction

DOI：10.1631/FITEE.2500062